
Senior Data Engineering Manager
2 weeks ago
We are seeking a highly skilled Data Platform Engineering Lead to design, develop and maintain a robust data foundation for our enterprise SaaS and AI-driven products.
This role involves leading the design of clean, scalable models, driving data platform strategy and enabling a high-velocity product development culture. As part of our team, you will work closely with engineering, product and analytics teams to deliver reliable data-backed features.
Key Responsibilities- Architect, develop and maintain a semantic layer and modular dbt pipelines.
- Own schema design, documentation and data contracts across the analytics and application layer.
- Define and enforce data platform best practices, versioning and governance for all data models.
- Implement data testing, observability and quality automation to ensure confidence at scale.
- Guide tool selection and platform evolution across the modern data stack.
- Mentor a growing team of engineers and participate in architecture planning and reviews.
- 10+ years of experience in backend or data engineering roles.
- Deep experience designing and maintaining normalized and dimensional data models.
- Advanced expertise in dbt (macros, packages, tests, modularization, docs).
- Expert in SQL, with a focus on PostgreSQL.
- Strong Python scripting for transformation logic and automation.
- Proven experience with tools in the modern data stack.
- Leadership experience with 6+ years in engineering leadership, architecture or tech lead roles.
This is an excellent opportunity for experienced professionals looking to take on a challenging leadership role in data engineering. We offer a collaborative and dynamic work environment with opportunities for growth and professional development.
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